I am a Ph.D. Candidate in the Department of Computer Science and Engineering at the University of South Carolina.
I am advised by Dr. Jianjun Hu, and I work as a Graduate Research Assistant in the Machine Learning and Evolution Laboratory
under his supervision. My field of research is solving materials informatics problems using Deep Learning techniques.
I am born and raised in Bangladesh. I have completed my B.S. in Computer Science and Engineering from Bangladesh University of Engineering and Technology in 2019.
My aim is to become an effective and impactful Deep Learning Scientist.
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We use deep learning techniques to solve materials informatics problems
(e.g., crystal structure prediction, materials property prediction) in our lab.
My work on crystal structure prediction is similar to the protein structure prediction problem
solved by AlphaFold2. I have also developed a state-of-the art global attention-based
Graph Neural Network architecture.
I mostly use Graph Neural Networks (GNNs) for my research. I have also used Convolutional
Neural Networks, Transformers and Generative Models for my other researches. I am fluent
in using PyTorch and PyTorch Geometric.